An open source, high scalability toolkit in Java for Entity Resolution.

Entity resolution for Elasticsearch.

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.

A convenient way to link, deduplicate, aggregate and cluster data(frames) in Python using deep learning

An open-source library that leverages Python’s data science ecosystem to build powerful end-to-end Entity Resolution workflows.

Entity Matching Model solves the problem of matching company names between two possibly very large datasets.

Curated list of awesome software and resources for Senzing, The First Real-Time AI for Entity Resolution.

CLK hash: hash pii for entity matching

MetaSRA: normalized sample-specific metadata for the Sequence Read Archive

Code for the paper "CollaborEM: A Self-supervised Entity Matching Framework Using Multi-features Collaboration". TKDE 2021.

Code for the paper "PromptEM: Prompt-tuning for Low-resource Generalized Entity Matching". VLDB 2023.

Spark Search - high performance advanced search features based on Apache Lucene

Compound AI toolchain for fast and accurate entity matching, powered by LLMs.

Implementation of the paper "Deep Indexed Active Learning for Matching Heterogeneous Entity Representations"

Alignment, a collaborative, system aided, user driven ontology/vocabulary matching and validation platform.

WInte.r is a Java framework for end-to-end data integration. The WInte.r framework implements well-known methods for data pre-processing, schema matching, identity resolution, data fusion, and result evaluation.

A Winner-Take-All Hashing-Based Unsupervised Model for Entity Resolution Problems. [B. Sc. Thesis]

Code for the paper "Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching"

Scalable record-level matching rules